Towards reliable matching of images containing repetitive patterns
Towards reliable matching of images containing repetitive patterns
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DOI：
10.1016/j.patrec.2011.07.029
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发表时间：
2011-10
期刊：
影响因子：
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通讯作者：
Bin Fan;Fuchao Wu;Zhanyi Hu
中科院分区：
文献类型：
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作者：
Bin Fan;Fuchao Wu;Zhanyi Hu
本文旨在解决含有重复模式的图像匹配问题。虽然重复模式广泛存在于现实世界的图像中，但即使视点变化不是很大，由于局部模糊性，这些图像也很难匹配。这仍然是一个开放的、具有挑战性的问题。为了解决这一问题，本文提出了一种匹配兴趣点对，然后根据低失真约束从匹配的兴趣点对中获得点对应关系的方法，这意味着点组在图像上的失真应该很小。通过匹配兴趣点对，由于使用了大得多的区域中的信息，因此可以在一定程度上减少由重复模式引起的局部歧义。同时，由于我们新定义了一个对应和一组点对应之间的相容度量，所得到的点对应是非常可靠的。实验证明了该方法的有效性及其相对于现有方法的优越性。
This paper aims to solve the problem of matching images containing repetitive patterns. Although repetitive patterns widely exist in real world images, these images are difficult to be matched due to local ambiguities even if the viewpoint changes are not very large. It is still an open and challenging problem. To solve the problem, this paper proposes to match pairs of interest points and then obtain point correspondences from the matched pairs of interest points based on the low distortion constraint, which is meant that the distortions of point groups should be small across images. By matching pairs of interest points, local ambiguities induced by repetitive patterns can be reduced to some extent since information in a much larger region is used. Meanwhile, owing to our newly defined compatibility measure between one correspondence and a set of point correspondences, the obtained point correspondences are very reliable. Experiments have demonstrated the effectiveness of our method and its superiority to the existing methods.